We build on Gemini and Vertex AI when multimodal work, large context, and grounding in fresh information matter most.
Google brings strengths we reach for often: Gemini's multimodal reasoning across text, images, and documents, very large context windows, and grounding with Google Search so answers can be tied to current information rather than stale training data. Vertex AI gives us a mature platform to deploy, monitor, and govern all of it inside Google Cloud.
We use Google where it wins and keep it portable. For teams already on Google Cloud, Vertex AI is the natural place to run models next to your BigQuery data and existing IAM. Because we stay model-agnostic, Gemini sits behind the same abstraction as every other provider, so you get its advantages without locking your system to a single platform.
What we use
- Gemini models for multimodal reasoning across text, image, and document inputs
- Vertex AI for managed deployment, evaluation, and governance in Google Cloud
- Grounding with Google Search to anchor answers in current information
- Large context windows for whole-corpus and whole-document reasoning
- Tight BigQuery and IAM integration for data-proximate, access-controlled AI
For Google Cloud clients, we deploy through Vertex AI so models run next to your data with your existing IAM, VPC controls, and audit logging already in force. We ground responses in your own sources and in Search where freshness matters, and we keep models close to BigQuery to cut data movement and latency. As with every provider, Gemini runs behind a routing layer, so you can keep it where it excels and reroute other workloads, all under your own cost and security controls, with infrastructure you own and can operate.
Questions, answered
It lets Gemini anchor answers in current, retrievable information instead of relying only on training data, which reduces stale or fabricated responses. We pair it with grounding in your own sources so answers cite both your data and the live web where that is appropriate.
Yes. Vertex AI lets us run models inside your existing project, IAM, and networking, close to your BigQuery data. You get less data movement, familiar governance, and infrastructure you already know how to operate.
Let's build the intelligence that moves your business.
Tell us where you're headed. We'll show you what's possible, and exactly how we'd get there together.